**automatic English translation below**
Workshop am 8. und 9. April 2025 im Leibniz-Institut für Deutsche Sprache, Mannheim
Visit our Workshop-Website to stay up-to-date.
Organisation: Annelen Brunner, Christian Lang, Ngoc Duyen Tanja Tu
Gescheiterte Experimente finden für gewöhnlich keinen Platz im wissenschaftlichen Diskurs, sie werden verworfen und nicht publiziert. Wir glauben, dass dadurch potenzieller Erkenntnisgewinn verloren geht. Schließlich ermöglicht eine systematische Reflexion über die Gründe des Scheiterns, angewendete Methoden zu hinterfragen und/oder zu verbessern. Zudem kann bei der Wiederholung zuvor gescheiterter Experimente explizit Fortschritt ermittelt werden, wenn diese dann gelingen. Die Diskussion und Dokumentation von Fehlschlägen schafft somit aus Perspektive der Methodenreflexion einen Mehrwert für die wissenschaftliche Gemeinschaft. Dies gilt umso mehr in einem Bereich wie der Forschung zu und mit Generativer Künstlicher Intelligenz, die nicht auf eine jahrzehntelange Tradition zurückblicken kann und in dem Best Practices erst ausgehandelt werden.
In diesem Workshop stehen linguistische und NLP-Experimente mit Generativer Künstlicher Intelligenz im Fokus, die nicht die gewünschten Ergebnisse gebracht haben, beispielsweise, aber nicht beschränkt auf:
Im Beitrag sollte klar werden, inwiefern dieses Scheitern zum Erkenntnisgewinn bezüglich der Arbeit mit Generativer KI beitragen kann.
Unveröffentlichte Beitragsvorschläge können bis zum 02.12.2024 in Form eines Abstracts (500-750 Wörter) in deutscher oder in englischer Sprache anonymisiert an folgende Mailadresse gesendet werden:
Über die Annahme der Beiträge entscheidet das Organisationsteam bis zum 16.12.2025. Bei Annahme des Beitrags wird die Ausarbeitung zu einem short paper (4-6 Seiten ohne Referenzen) auf Englisch bis zum 15.02.2025 erbeten. Es ist geplant, die angenommenen short paper zu veröffentlichen.
Der Workshop findet vom 8.-9.4.2025 (Lunch-to-Lunch) am Leibniz-Institut für Deutsche Sprache in Mannheim statt. Die 20-minütigen Vorträge können auf Deutsch oder Englisch gehalten werden.
Failed experiments typically have no place in scientific discourse; they are discarded and not published. We believe this leads to a loss of potential knowledge. After all, a systematic reflection on the reasons for failure allows for the questioning and/or improvement of methods used. Furthermore, when previously failed experiments are repeated and succeed, explicit progress can be determined. Thus, the discussion and documentation of failures creates added value for the scientific community from the perspective of methodological reflection. This is even more relevant in a field like research into and with Generative Artificial Intelligence (AI), which cannot look back on decades of tradition and where best practices are still being negotiated.
This workshop focuses on linguistic and NLP experiments with Generative AI that did not yield the desired results, such as but not limited to:
The contribution should clarify how this failure can contribute to knowledge gain regarding the work with Generative AI.
Unpublished proposals can be submitted anonymously as an abstract (500-750 words) in either German or English to the following email address by December 2, 2024:
The organization team will decide on the acceptance of contributions by December 16, 2025. If a contribution is accepted, a short paper (4-6 pages without references) in English will be requested by February 15, 2025. The accepted short papers are planned to be published.
The workshop will take place from April 8-9, 2025 (Lunch-to-Lunch) at the Leibniz Institute for the German Language in Mannheim. The 20-minutes presentations can be given in either German or English.
Deadline Abstract: December 2, 2024
Notification: December 16, 2025
Deadline short paper: February 15, 2025
Workshop: April 8-9, 2025 (Lunch-to-Lunch) at the Leibniz Institute for the German Language, Mannheim
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In April (27 & 28), the 2023 Chair of the KU Leuven Institute for the Study of the Transmission of Texts, Ideas and Images in Antiquity, the Middle Ages and the Renaissance (LECTIO) will give a lecture and lead an accompanying doctoral seminar.
LECTIO is devoted to the study of the intellectual history of pre-modern and early modern Europe. It builds on the strong and unique Leuven tradition of (art) historical, philosophical, philological, linguistic, juridical and theological approaches to the history of ideas. Its mission is to foster collaborative research across the boundaries of disciplines, theories and methods. Combining more traditional philological, hermeneutical and historical-critical approaches with new methodologies, LECTIO is also at the forefront of recent developments in the Digital Humanities and the application of Artificial Intelligence to the historical humanities.
This year, the LECTIO Chair is held by Dr. Barbara McGillivray (Kings College London), who will deal with approaches to studying semantic change in her lecture and the seminar.
The lecture is entitled “From corpora to semantic spaces: how computational methods can help us uncover word meaning change in ancient texts”. The accompanying seminar is geared towards PhD candidates, during which they will learn about the practical side of studying semantic change and variation. There will also be an opportunity for the PhD researchers to present their research and receive feedback.
LECTIO encourages PhD candidates to register for the doctoral seminar, not only if their work is directly connected with NLP or corpus analysis, but if they are interested in seeing the opportunities that these approaches could bring to their research. The registration form offers two options: (1) to attend only, or (2) to attend and give a short presentation.
The dates are Thursday 27 April for the lecture, and Friday 28 April for the seminar. Attendance is free, but registration is required. Further information can be found on the LECTIO website:
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